tophat输出结果junction.bed
tophat输出结果junction.bed
| BED format |
|
BED format provides a flexible way to define the data lines that are displayed in an annotation track. BED lines have three required fields and nine additional optional fields. The number of fields per line must be consistent throughout any single set of data in an annotation track. The order of the optional fields is binding: lower-numbered fields must always be populated if higher-numbered fields are used. If your data set is BED-like, but it is very large and you would like to keep it on your own server, you should use the bigBed data format. The first three required BED fields are:
The 9 additional optional BED fields are:
Example: track name=pairedReads description="Clone Paired Reads" useScore=1 Example: browser position chr7:127471196-127495720 Example: browser position chr7:127471196-127495720 |
tophat输出结果junction.bed中定义的junction就是中间是intron两边是exon的这种序列结构, JUNC00000001包含两个exon和中间的intron
cat junctions.bed
track name=junctions description="TopHat junctions"
test_chromosome 177 400 JUNC00000001 61 + 177 400 255,0,0 2 73,50 0,173
test_chromosome 350 550 JUNC00000002 45 + 350 550 255,0,0 2 50,50 0,150

exon1: 177-250(display), 177-249(actual)
intron: 250-350(display), 250-349(actual)
exon2: 350-400(display), 350-399(actual)
chrom(test_chromosome): The name of the chromosome.
这里就是test_chromosome
chromStart(177): The starting position of the feature in the
chromosome or scaffold. The first base in a chromosome is numbered
0.
chromosome上feature(在这里就是junction)的起始位置
chromEnd(400): The ending position of the feature in the chromosome
or scaffold. The chromEnd base is not included in the display of
the feature. For example, the first 100 bases of a chromosome are
defined as chromStart=0, chromEnd=100, and span the bases numbered
0-99.
对应的终止位置
name(JUNC00000001): Defines the name of the BED line.
score(61): A score between 0 and 1000.
strand(+): Defines the strand: either '+' or '-'.
thickStart(177): The starting position at which the feature is
drawn thickly (for example, the start codon in gene
displays).
thickEnd(400): The ending position at which the feature is drawn
thickly (for example, the stop codon in gene displays).
itemRgb(255,0,0): An RGB value of the form R,G,B (e.g. 255,0,0). If
the track line itemRgb attribute is set to "On", this RBG value
will determine the display color of the data contained in this BED
line. NOTE: It is recommended that a simple color scheme (eight
colors or less) be used with this attribute to avoid overwhelming
the color resources of the Genome Browser and your Internet
browser.
blockCount(2): The number of blocks (exons) in the BED line.
外显子个数,2个
blockSizes(73,50): A comma-separated list of the block sizes. The
number of items in this list should correspond to
blockCount.外显子大小,两个数字用逗号隔开
blockStarts(0,173): A comma-separated list of block starts. All of
the blockStart positions should be calculated relative to
chromStart. The number of items in this list should correspond to
blockCount.
外显子起始位置,不从chromosome的起始开始,而是从chromStart开始数,也就是junction的起始位置开始计算,第一个碱基是0
用bed_to_junc转换后得到.juncs其中只保留了junction中intron的部分
cat new_list.juncs
test_chromosome 249 350 +
test_chromosome 399 500 +
<chrom> <left> <right> <+/->
http://genome.ucsc.edu/FAQ/FAQformat.html#format1
http://www.ensembl.org/info/website/upload/bed.html
http://zhongguozhanying.blog.163.com/blog/static/21618709520135484450746/
http://blog.sina.com.cn/s/blog_7cffd14001012rtd.html
https://github.com/WormBase/wormbase-pipeline/blob/master/scripts/align_RNASeq.pl
tophat输出结果junction.bed的更多相关文章
- 使用Tophat+cufflinks分析差异表达
使用Tophat+cufflinks分析差异表达 2017-06-15 19:09:43 522 0 0 使用TopHat+Cufflinks的流程图 序列的比对是RNA分析 ...
- RNA-seq连特异性
RNA-seq连特异性 Oct 15, 2015 The strandness of RNA-seq analysis 前段时间一直在研究关于illumina TrueSeq stranded RNA ...
- tophat的用法
概述:tophat是以bowtie2为核心的一款比对软件. tophat工作分两步: 1.将reads用bowtie比对到参考基因组上. 2.将unmapped-reads打断成更小的fragment ...
- TopHat
What is TopHat? TopHat is a program that aligns RNA-Seq reads to a genome in order to identify exon- ...
- RNA-seq差异表达基因分析之TopHat篇
RNA-seq差异表达基因分析之TopHat篇 发表于2012 年 10 月 23 日 TopHat是基于Bowtie的将RNA-Seq数据mapping到参考基因组上,从而鉴定可变剪切(exon-e ...
- poj 1041(字典序输出欧拉回路)
John's trip Time Limit: 1000MS Memory Limit: 65536K Total Submissions: 8641 Accepted: 2893 Spe ...
- 链终止法|边合成边测序|Bowtie|TopHat|Cufflinks|RPKM|FASTX-Toolkit|fastaQC|基因芯片|桥式扩增|
生物信息学 Sanger采用链终止法进行测序 带有荧光基团的ddXTP+其他四种普通的脱氧核苷酸放入同一个培养皿中,例如带有荧光基团的ddATP+普通的脱氧核苷酸A.T.C.G放入同一个培养皿,以此类 ...
- mapreduce多文件输出的两方法
mapreduce多文件输出的两方法 package duogemap; import java.io.IOException; import org.apache.hadoop.conf ...
- Android Studio 多个编译环境配置 多渠道打包 APK输出配置
看完这篇你学到什么: 熟悉gradle的构建配置 熟悉代码构建环境的目录结构,你知道的不仅仅是只有src/main 开发.生成环境等等环境可以任意切换打包 多渠道打包 APK输出文件配置 需求 一般我 ...
随机推荐
- 两个list 求交集效率对比
__author__ = 'daitr' #--coding:utf-8-- import datetime #方法一: #a=[2,3,4,5] #b=[2,5,8] #tmp = [val for ...
- php入门引言
php开发者要具备的一些要求: [1]html常用标签的基础知识 [2]html+css布局的基础知识 [3]了解php开发环境 [4]了解php标签和扩展名 1.php标签是撒??? <?ph ...
- 支持异步通知的globalfifo平台设备驱动程序及其测试代码
驱动: #include <linux/module.h> #include <linux/types.h> #include <linux/fs.h> #incl ...
- WPF中Image控件绑定到自定义类属性
首先我们定义一个Student类,有ID,Name,Photo(保存图片路径). using System; using System.Collections.Generic; using Syste ...
- 2014年辛星完全解读Javascript第三节
经过第一节的入门和第二节的运算符,那么接下来我们就可以学习Javascript的函数了,当然了,不管大家之前学习的是什么编程语言,都会有函数的概念,如果大家学的是Pascal,还会有”过程“的概念,但 ...
- Oracle表连接
一个普通的语句select * from t1, t2 where t1.id = t2.id and t1.name = 'a'; 这个语句在什么情况下最高效? 表连接分类: 1. 嵌套循环连接(N ...
- ExtJs 4.2 treePanel 点击树节点 传送参数到后台(多个参数)
//***********************************************左边树开始********************************************** ...
- Web Api 控制器
Web Api 控制器 文档目录 本节内容: 简介 AbpApiController 基类 本地化 其它 过滤 审计日志 授权 防伪造过滤 工作单元 结果包装和异常处理 结果缓存 验证 模块绑定器 简 ...
- 简单3d RPG游戏 之 002 生命条(二)
在游戏中,游戏人物的血条可能会因为受伤或吃血瓶而长度变化,所以需要将血条的长度单独提出来作为一个变量,方便直接修改数值. public float healthBarLength; 改变生命值函数如下 ...
- python 中的列表解析和生成表达式 - 转
优雅.清晰和务实都是python的核心价值观,如果想通过操作和处理一个序列(或其他的可迭代对象)来创建一个新的列表时可以使用列表解析( List comprehensions)和生成表达式,通过这两 ...